20.500.12556/DiRROS-19596 A simple in silico approach to generate gene-expression profiles from subsets of cancer genomics data In biomedical research, large-scale profiling of gene expression has become routine and offers a valuable means to evaluate changes in onset and progression of diseases, in particular cancer. An overwhelming amount of cancer genomics data has become publicly available, and the complexity of these data makes it a challenge to perform in silico data exploration, integration and analysis, in particular for scientists lacking a background in computational programming or informatics. Many web interface tools make these large datasets accessible but are limited to process large datasets. To accelerate the translation of genomic data into new insights, we provide a simple method to explore and select data from cancer genomic datasets to generate gene-expression profiles of subsets that are of specific genetic, biological or clinical interest. cancer genomics cBioPortal data mining epigenetics gene expression in silico true false true Angleški jezik Ni določen Neznano 2024-07-20 04:02:38 2024-07-24 10:07:54 2024-07-25 04:14:46 0000-00-00 00:00:00 2019 0 0 str. 172-176 no. 4 Vol. 67 2019 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2019-11-23 577.2 0736-6205 10.2144/btn-2018-0179 5289039 RAZ_Khurshed_Mohammed_2019.pdf RAZ_Khurshed_Mohammed_2019.pdf 1 269A8E27D0E5EF5B7D033CFA1F7B7D63 7939e5e750652f9de3754a2b98bcabbaf362c1a5e4939116d343f6f300169097 4c90db51-4983-11ef-b487-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=27264 https://doi.org/10.2144/btn-2018-0179 0 3b99d6cd-4983-11ef-b487-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=27263 Nacionalni inštitut za biologijo 0 0 0